搜索结果: 31-42 共查到“测绘科学技术 hyperspectral data”相关记录42条 . 查询时间(0.08 秒)
Target detection algorithm for airborne thermal hyperspectral data
Thermal Hyperspectral LWIR (Long Wave Infrared) Constrained Energy Minimization (CEM) Minimum Noise Fraction (MNF)
2014/12/15
Airborne hyperspectral imaging is constantly being used for classification purpose. But airborne thermal hyperspectral image usually is a challenge for conventional classification approaches. The Telo...
A Unified Framework for Dimensionality Reduction and Classification of Hyperspectral Data
Unified Framework SVMDRC Dimensionality Reduction Intrinsic Dimensionality
2014/12/15
The processing of hyperspectral remote sensing data, for information retrieval, is challenging due to its higher dimensionality. Machine learning based algorithms such as Support Vector Machine (SVM) ...
Sub-pixel mineral mapping using EO-1 Hyperion hyperspectral data
Mineral exploration Feature extraction Hyper spectral MTTCIMF algorithm Sub-pixel
2014/12/15
This study describes the utility of Earth Observation (EO)-1 Hyperion data for sub-pixel mineral investigation using Mixture Tuned Target Constrained Interference Minimized Filter (MTTCIMF) algorithm ...
Hydat-A Hyperspectral Data Processing Tool for Field Spectroradiometer Data
Spectroradiometer Data Processing Tool MATLAB Absorption Feature Spectral Indices Spectral Geometry
2014/12/15
A hyperspectral data processing tool "HyDAT" has been developed in MATLAB environment for processing of Field Spectroradiometer data for vegetation studies. Several basic functions e.g. data visualiza...
AN EFFICIENT INITIALIZATION METHOD FOR K-MEANS CLUSTERING OF HYPERSPECTRAL DATA
K-means Clustering Initialization methods Unmixing MVES Hyperspectral data
2014/12/1
K-means is definitely the most frequently used partitional clustering algorithm in the remote sensing community. Unfortunately due to its gradient decent nature, this algorithm is highly sensitive to ...
Ordinal classification for efficient plant stress prediction in hyperspectral data
Hyper spectral Classification Close Range Agriculture Feature
2014/9/29
Detection of crop stress from hyperspectral images is of high importance for breeding and precision crop protection. However, the continuous monitoring of stress in phenotyping facilities by hyperspec...
EVALUATION OF WHEAT GROWTH MONITORING METHODS BASED ON HYPERSPECTRAL DATA OF LATER GRAIN FILLING AND HEADING STAGES IN WESTERN AUSTRALIA
Hyperspectral imaging Remote monitoring Agricultural products Moisture, LAI
2014/4/30
This study estimated the wheat yield, quality, and growth conditions using hyperspectral data of the later grain filling and heading stages. The study area is located in the suburbs of Mullewa, Wester...
THE BENEFITS OF TERRESTRIAL LASER SCANNING AND HYPERSPECTRAL DATA FUSION PRODUCTS
Hyper spectral lidar fusion visualization analysis texture value-added photo-realism
2014/4/29
Close range hyperspectral imaging is a developing method for the analysis and identification of material composition in many applications, such as in within the earth sciences. Using compact imaging d...
HYPERSPECTRAL DATA CLASSIFICATION USING FACTOR GRAPHS
Hyper spectral Classification Training Reference Data
2014/4/29
Accurate classification of hyperspectral data is still a competitive task and new classification methods are developed to achieve desired tasks of hyperspectral data use. The objective of this paper i...
CLASSIFICATION OF ROOF MATERIALS USING HYPERSPECTRAL DATA
Hyperspectral Urban ALK Vector data Classification Feature extraction Roof
2014/4/29
Mapping of surface materials in urban areas using aerial imagery is a challenging task. This is because there are numerous materials present in relatively small regions. Hyperspectral data features a ...
A GA-based Band Selection Algorithm for Producing Color Composite Image Using Hyperspectral Data
color composite image band selection hyperspectral data
2009/3/16
This paper presents a GA(Genetic algorithms)-based band selection procedure for producing the color composite image using hyperspectral data (e.g., hyperion data). The more number of hyperspectral ban...
NDSI Map and IPLS Using Hyperspectral Data for Assessment of Plant and Ecosystem Variables—With a Case Study on Remote Sensing of Grain Protein Content, Chlorophyll Content and Biomass in Rice—
band selection hyperspectra multivariable analysis PLS spectral index
2010/11/24
Hyperspectral reflectance is an important data source for remote sensing of vegetation and ecosystems, especially in assessment of ecophysiological and physiochemical properties. Nevertheless, major a...
